List: Probability | Curated by Alex MacMillan

Feb 14, 2023
23 stories
Probability 
ODSC - Open Data Science
Incremental Development of PyMC ModelsPyMC is a powerful tool for doing Bayesian statistics, but getting started can be intimidating. This article presents an example that I…
Aug 9, 2021
1
Aug 9, 2021
1
In
Omics Diary
by
Kuan Rong Chan, Ph.D.
How to test normality, skewness and kurtosis using PythonEvaluating the distribution of your data variables with Python in just a few lines of codes
Jun 24, 2022
Jun 24, 2022
In
TDS Archive
by
Michael Kingston
Applications of the Nash EquilibriumBertrand , Cournot and Hotelling
Mar 7, 2022
1
Mar 7, 2022
1
In
TDS Archive
by
Thomas Bury
Building a dashboard in Plotly DashTo explore thousands of ECG recordings on Physionet
Aug 31, 2022
2
Aug 31, 2022
2
In
TDS Archive
by
Chaitanya Baweja
How to Design Professional Venn Diagrams in PythonA quick guide for plotting stylish and professional Venn diagrams using matplotlib-venn
Jul 19, 2020
1
Jul 19, 2020
1
Lars ter Braak
Beyond traditional asset return modelling: Embracing thick tails.Guide to statistical inference for preasymptotics.
Jun 21, 2022
Jun 21, 2022
In
TDS Archive
by
Matteo Courthoud
The Bayesian BootstrapA short guide to a simple and powerful extension of the bootstrap
Aug 8, 2022
5
Aug 8, 2022
5
Anyi Guo
What’s the probability of running into someone by chance in London?Learn to use the Binomial distribution to model real life events, with worked examples in Python 💻
Jun 22, 2022
1
Jun 22, 2022
1
In
TDS Archive
by
Meraldo Antonio
Customer lifetime value estimation via probabilistic modelingHow to quantify the value of your customers through the BG-NBD model
Feb 23, 2022
7
Feb 23, 2022
7
Harsh Mishra
Benford’s law can be a game changer!!!Today in this blog I wanted to share some information about benford’s law. We will see what it is and how it could be a gamechanger as we…
Nov 13, 2021
Nov 13, 2021
In
TDS Archive
by
Thiago Carvalho
Funnel charts with PythonA great option for representing different stages of a process
Dec 11, 2020
1
Dec 11, 2020
1
In
Analytics Vidhya
by
Zhijing Eu
Building A Probabilistic Risk Estimate Using Monte Carlo SimulationsA Structured Approach To Making A Data Driven Best Guess With XLRisk
Nov 12, 2020
5
Nov 12, 2020
5
In
Towards Dev
by
Kyle Lee Dixon
Calculating Value at Risk (VaR) in RVaR is an important risk management metric that represents a theoretical maximum loss that you can expect given a certain portfolio as an…
Jan 26, 2022
Jan 26, 2022
In
TDS Archive
by
Max Reynolds
When to use Bayesian5 Scenarios Where Bayesian Modeling Should be Considered
Jan 17, 2022
2
Jan 17, 2022
2
In
TDS Archive
by
Tom Leyshon
The ABCs of Approximate Bayesian ComputationAn introduction into parameter inference using Approximate Bayesian Computational methods.
Mar 14, 2021
3
Mar 14, 2021
3
In
TDS Archive
by
Shota Horii
A Gentle Introduction to Maximum Likelihood Estimation and Maximum A Posteriori EstimationGetting intuition of MLE and MAP with a football example
Jun 11, 2019
19
Jun 11, 2019
19
In
TDS Archive
by
Heiko Onnen
Python Scenario Analysis: Modeling Expert Estimates with the beta-PERT DistributionAnd How to Add a New, User-Defined Distribution to SciPy’s Catalogue
Oct 25, 2021
1
Oct 25, 2021
1
Julio Cárdenas-Rodríguez
Data Science with the Penguins Data Set: Bayesian NetworksBasics and benefits
Oct 17, 2021
Oct 17, 2021
Prakhar S
Statistics for Data Science: Confidence IntervalsA population is defined by parameters such as mean and variance and standard deviation. But finding these values for a population can be…
Dec 24, 2021
1
Dec 24, 2021
1
In
Alpha Beta Blog
by
Tony Yiu
Why Are So Many People Still Unvaccinated?Mental biases and bad logic is the answer
Dec 19, 2021
6
Dec 19, 2021
6